The host problem
Most hosts either track nothing or check everything every day. Neither habit creates better pricing decisions.
Daily checking creates anxiety. No tracking leaves you guessing.
A monthly review gives you enough data to see patterns without turning hosting into a second job.
The decision this article helps you make
A monthly KPI review answers: was last month better or worse than the month before, and what changed?
That question has a mechanical answer when you collect the right inputs.
The signal to check first
Collect five inputs from the completed month:
- Accommodation revenue
- Booked nights
- Available nights
- Number of bookings
- Booking date for each reservation
Use Airbnb’s accommodation revenue line, not your bank deposit. The deposit can include cleaning fees.
Count available nights as nights the listing stayed open and bookable. Exclude maintenance, personal use, and snoozed periods.
How to read the signal
Calculate in this order:
ANR = Accommodation Revenue divided by Booked Nights
Occupancy Rate = Booked Nights divided by Available Nights
RevPAR = Accommodation Revenue divided by Available Nights
ALOS = Booked Nights divided by Bookings
Average BLT = Average days from booking date to check-in date
Then write one operator note.
Example: “RevPAR rose from $95 to $108 because occupancy improved while ANR held flat.”
That sentence matters. It forces you to explain the numbers before changing price.
Simple example
April shows:
- Accommodation revenue: $2,800
- Booked nights: 20
- Available nights: 28
- Bookings: 6
- Average BLT: 19 days
The KPI row reads:
- ANR: $140
- Occupancy: 71%
- RevPAR: $100
- ALOS: 3.3 nights
- Average BLT: 19 days
March had ANR of $135, occupancy of 68%, and RevPAR of $92.
Operator note: “ANR and occupancy both improved. RevPAR grew $8. No obvious pricing problem.”
What most hosts get wrong
Hosts skip the operator note. Numbers without interpretation become clutter.
Hosts also review too often. Daily booking movement carries too much noise. Monthly data shows the pattern.
What to do this week
- Choose a monthly review date.
- Set a recurring reminder.
- Pull accommodation revenue, booked nights, available nights, bookings, and booking dates.
- Calculate ANR, occupancy, RevPAR, ALOS, and average BLT.
- Write one operator note.
- Enter everything into Airbnb KPI Spreadsheet Template.
Where this fits in the STR Signals framework
Monthly tracking supplies the baseline for every pricing decision. You cannot diagnose underpricing without prior ANR. You cannot evaluate RevPAR without available nights. You cannot know whether a cut helped without before-and-after data.
Use Occupancy Explained Without Panic Pricing before reacting to occupancy changes.